Detección automática de misoginia en X usando inteligencia artificial

Authors

  • José-Carmen Morales-Castro Universidad de Guanajuato (México) Author
  • José-Armando Pérez-Crespo Universidad de Guanajuato (México) Author
  • José-Merced Lozano-García Universidad de Guanajuato (México) Author
  • Angelica Hernández-Rayas Universidad de Guanajuato (México) Author
  • José Ruiz-Pinales Universidad de Guanajuato (México) Author
  • Rafael Guzmán-Cabrera Universidad de Guanajuato (México) Author

DOI:

https://doi.org/10.52152/wra7d514

Keywords:

Polaridad sentimental, Análisis de sentimientos, Validación cruzada, Conjuntos de entrenamiento y prueba, Sentiment polarity, Sentiment analysis, Cross-validation, Training and test sets.

Abstract

Nowadays, the number of social network users has grown exponentially. One example of these social networks is X, which plays an important role in the generation and dissemination of information. However, this increase in the use of social networks has also led to an increase in the dissemination of misogynistic messages.

Published

2024-11-01

Issue

Section

Technical Note

How to Cite

[1]
2024. Detección automática de misoginia en X usando inteligencia artificial. DYNA. 99, 6 (Nov. 2024). DOI:https://doi.org/10.52152/wra7d514.